Dmitrii Kochkov

607 total citations · 1 hit paper
8 papers, 250 citations indexed

About

Dmitrii Kochkov is a scholar working on Atmospheric Science, Condensed Matter Physics and Statistical and Nonlinear Physics. According to data from OpenAlex, Dmitrii Kochkov has authored 8 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Atmospheric Science, 3 papers in Condensed Matter Physics and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Dmitrii Kochkov's work include Meteorological Phenomena and Simulations (4 papers), Advanced Condensed Matter Physics (3 papers) and Physics of Superconductivity and Magnetism (2 papers). Dmitrii Kochkov is often cited by papers focused on Meteorological Phenomena and Simulations (4 papers), Advanced Condensed Matter Physics (3 papers) and Physics of Superconductivity and Magnetism (2 papers). Dmitrii Kochkov collaborates with scholars based in United States, United Kingdom and Germany. Dmitrii Kochkov's co-authors include Michael P. Brenner, Stephan Hoyer, Bryan K. Clark, Milan Klöwer, Peter Battaglia, Álvaro Sánchez‐González, Peter Nørgaard, Peter Düben, Ian Langmore and James Lottes and has published in prestigious journals such as Nature, Physical Review Letters and Science Advances.

In The Last Decade

Dmitrii Kochkov

6 papers receiving 241 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Neural general circulation models for weather and climate

2024 153 citations Dmitrii Kochkov, Janni Yuval et al. Nature profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Dmitrii Kochkov United States	5	97	81	49	47	36	8	250
Moritz Linkmann United Kingdom	14	39 0.4×	48 0.6×	43 0.9×	57 1.2×	10 0.3×	33	352
Tobias Grafke United Kingdom	9	45 0.5×	45 0.6×	29 0.6×	84 1.8×	12 0.3×	23	239
B. Gopala Krishna India	10	78 0.8×	23 0.3×	50 1.0×	4 0.1×	13 0.4×	40	354
Jahanshah Davoudi Germany	9	42 0.4×	38 0.5×	51 1.0×	72 1.5×	7 0.2×	15	295
Tsae-Pyng J. Shen United States	7	133 1.4×	122 1.5×	3 0.1×	60 1.3×	85 2.4×	15	317
Marta Sanchez de La Lama Spain	9	31 0.3×	32 0.4×	57 1.2×	117 2.5×	30 0.8×	13	352
Olivier Pujol France	11	161 1.7×	153 1.9×	3 0.1×	31 0.7×	21 0.6×	38	297
Antoine Naert France	10	24 0.2×	92 1.1×	35 0.7×	186 4.0×	53 1.5×	20	438
Andre N. Souza United States	8	62 0.6×	40 0.5×	7 0.1×	28 0.6×	26 0.7×	19	199
Pascal Metz France	5	21 0.2×	38 0.5×	7 0.1×	34 0.7×	14 0.4×	7	303

Countries citing papers authored by Dmitrii Kochkov

Since Specialization

Citations

This map shows the geographic impact of Dmitrii Kochkov's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dmitrii Kochkov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitrii Kochkov more than expected).

Fields of papers citing papers by Dmitrii Kochkov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dmitrii Kochkov. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dmitrii Kochkov. The network helps show where Dmitrii Kochkov may publish in the future.

Co-authorship network of co-authors of Dmitrii Kochkov

This figure shows the co-authorship network connecting the top 25 collaborators of Dmitrii Kochkov. A scholar is included among the top collaborators of Dmitrii Kochkov based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dmitrii Kochkov. Dmitrii Kochkov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Yuval, Janni, Ian Langmore, Dmitrii Kochkov, & Stephan Hoyer. (2026). Neural general circulation models for modeling precipitation. Science Advances. 12(2). eadv6891–eadv6891.

2.

Kochkov, Dmitrii, Janni Yuval, Ian Langmore, et al.. (2024). Neural general circulation models for weather and climate. Nature. 632(8027). 1060–1066. 153 indexed citations breakdown →

3.

Zhuang, Jiawei, Dmitrii Kochkov, Yohai Bar‐Sinai, Michael P. Brenner, & Stephan Hoyer. (2021). Learned discretizations for passive scalar advection in a two-dimensional turbulent flow. Physical Review Fluids. 6(6). 40 indexed citations

4.

Kochkov, Dmitrii, et al.. (2021). Variational Data Assimilation with a Learned Inverse Observation Operator. 3449–3458. 2 indexed citations

5.

Kochkov, Dmitrii & Bryan K. Clark. (2019). Variational optimization in the AI era: supervised wave-function optimization and computational graph states.. Bulletin of the American Physical Society. 2019.

6.

Aczel, A. A., et al.. (2019). Deviation from the dipole-ice model in the spinel spin-ice candidate MgEr2Se4. Physical review. B.. 99(13). 9 indexed citations

7.

Changlani, Hitesh J., Dmitrii Kochkov, Krishna Kumar, Bryan K. Clark, & Eduardo Fradkin. (2018). Macroscopically Degenerate Exactly Solvable Point in the Spin-1/2 Kagome Quantum Antiferromagnet. Physical Review Letters. 120(11). 117202–117202. 42 indexed citations

8.

Kochkov, Dmitrii, et al.. (2018). Classical phase diagram of the stuffed honeycomb lattice. Physical review. B.. 98(13). 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact